A remote monitoring method and system for low-voltage switchgear based on the Internet of Things

Abstract

This invention discloses a method and system for remote monitoring of low-voltage distribution cabinets based on the Internet of Things (IoT). The method includes: acquiring Point of Interest (POI) data of a target area map, analyzing the area's power consumption characteristics, and constructing a power demand density distribution map; determining the deployment location of the IoT server based on the distribution map, and building a remote monitoring platform for low-voltage distribution cabinets; using the platform to collect operating data of each low-voltage distribution cabinet within a preset time period, and clustering them using a fuzzy C-means clustering algorithm to form collaborative sensing clusters; based on real-time monitoring data, determining the time period to which the distribution cabinet belongs, constructing a real-time operating data matrix within the cluster, performing consistency analysis, and identifying distribution cabinets with abnormal operating states. This invention can realize intelligent monitoring and anomaly detection of low-voltage distribution cabinets, improving the safety and operation and maintenance efficiency of the power distribution system.

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